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Morgan Williams is Director of Sales Development and GTM Engineering at Flexport. His team completed 14 straight months above quota. Flexport raised the target twice during that run, and the team reached 181.8% against the current quota in August.
In this conversation, Morgan explains the operating system supporting that performance. It combines AI-powered research, account and contact scoring, signal-based prioritisation, coaching, and an end-to-end dashboard. One workflow reduced account research from about two hours per SDR per day to roughly 15 minutes, giving reps more time for high-quality conversations.
We discuss:
- Reducing SDR research from about two hours to roughly 15 minutes
- Removing non-revenue work while keeping the SDR focused on conversations
- Account score versus account temperature
- Contact-level scoring and temperature
- First-party and third-party signal prioritisation
- Coaching reps according to prospect intent
- Rep adoption through pilots, feedback, and co-authorship
- The end-to-end dashboard that connects research, prioritisation, and action
Referenced:
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(00:00) Why this episode matters
(00:55) Defining high-quality conversations
(04:35) Remove non-revenue work first
(08:50) Research from two hours to 15 minutes
(10:50) One-click account research in Salesforce
(15:10) Account score versus account temperature
(18:00) Rep autonomy and experimentation
(20:30) The two outbound gears
(22:25) Nets, spears, and seeds
(25:45) Predicting who will answer
(30:45) Coaching to prospect intent
(37:00) From the dashboard to the dialer
(39:00) Fewer tools and stronger adoption
(46:20) Closing and where to find Morgan
